Senior Data Scientist/AI Engineer (Remote)

YouGov
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - Generative AI

Senior Data Scientist & ML Engineer (f/m/d)

Senior Data Scientist - AI/Gen AI in Production (Hybrid)

Senior Data Scientist - AI Practice Team

Senior Data Scientist - AI Practice Team

Junior Data Scientist - AI Practice Team

THE TEAM & THE JOB

We are seeking a talented and self-motivated Senior Data Scientist/AI Engineer to join our team. In this role, you will design, build, and deploy next generation AI-driven tools for market research. You will work at the intersection of data science and AI engineering.

We develop models and predictions using a combination of surveys, voter databases, census microdata, behavioral tracking and other sources. We handle the most difficult data problems at our company, including massive datasets, missing data, self-selection, measurement error, fraud detection, attrition, and many more.

This is a hands-on role that requires both analytical and programming skills at an advanced level.

What You Will Be Doing

  • Design and build AI-powered applications to analyze, summarize, and generate insights from survey data.
  • Contribute to technical design and architecture decisions for AI/ML systems.
  • Develop and optimize prompts and chains.
  • Build applications to simplify analytics and improve the efficiency of data processing.
  • Work with structured and unstructured data
  • Collaborate with data analysts, product managers, UI designers, and software developers to create great products.
  • Contribute to model evaluation and performance tracking using both qualitative and quantitative metrics.
  • Stay up to date with recent developments in AI and machine learning, including LLMs, fine tuning, and RAG pipelines.
  • Handling ambiguous, complex problems with minimal guidance
  • Contribute to technical vision, architectural decisions, or to help setting technical standards.
  • Contribute to business impact and strategic problem-solving at an organizational level as and when required.

KEY COMPETENCIES

  • Master’s or PhD in data science or related field.
  • Demonstrable progressive experience in senior data science/AI engineering roles.
  • Advanced knowledge in Python and/or R for data analysis, modelling, and visualization.
  • Experience working with LLM APIs and building LLM-based applications and frameworks.
  • Progressive experience with natural language processing, including topic modelling, text classification, and summarization.
  • Experience in taking part in cross-functional technical projects.
  • Ability to write clean, maintainable, well-documented code.
  • Proven track record of delivering complex, high-impact solutions.
  • Ability to cross collaborate with other teams across the business.

For roles based in California, New York, Colorado or Washington State, the base salary hiring range for this position is USD 188,864 - USD 211,600. Compensation offered will be determined by multiple factors including location, job-related knowledge, skills and experience. Certain roles may be eligible for incentive compensation and additional benefits. All US based full time employees are eligible for the following benefits:

  • Paid vacation, holidays and sick days
  • Flexible working arrangement available
  • Group medical, dental and vision insurance
  • Company-paid life and disability insurance
  • Paid parental leave
  • 401(k) with company match

Why join YouGov?

Join our global team to help us achieve our social mission: to make millions of people’s opinions heard for the benefit of our local, national, and international communities.

Understanding diversity of opinion requires diversity of background. Although our global panel of millions of people worldwide powers our research, our biggest asset is our people. If our research is to be truly representative of what the world thinks, we need people from all walks of life to be part of the team to bring their perspective to the work we do.

Life at YouGov

We are driven by a set of shared values. We are fast, fearless, and innovative. We work diligently to get it right. We are guided by accuracy, ethics, and proven methodologies. We respect and trust each other, bringing these values into everything that we do.

We strive to provide YouGovers with best-in-class benefits to support their physical, financial, and emotional wellbeing. We want our employees to have a sense of belonging and uniqueness in a supportive workplace, so they can bring their full selves to work.

Equal Opportunity Employer

As an Equal Opportunity Employer, qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity or expression, and sexual orientation), parental status, national origin, marital status, age, disability, genetic information, HIV status, political affiliation, socioeconomic background, veteran status or any other characteristic protected by law or in line with our responsibilities as a fair and ethic employer. All employment decisions are made based on occupational qualifications, merit, and business need.

Data Privacy

To find out how we collect and use your personal data when you apply for a role at YouGov, please read our privacy notice at https://jobs.yougov.com/privacy

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.